scholarly journals Dynamics in Turkish Housing Market

2019 ◽  
Author(s):  
Sıtkı Sönmezer ◽  
Gürol Aytüre
Keyword(s):  
Real Estate ◽  
Interest Rates ◽  
Housing Market ◽  
Foreign Currency ◽  
Housing Prices ◽  
Real Estate Market ◽  
Construction Sector ◽  
Increased Risk ◽  
Mortgage Rates ◽  
Significant Factors

The recent economic crises of the summer 2018 has led to hiking foreign currency prices and an increased risk perception. Moreover, promising returns of alternative investments has convinced investors to refrain from the housing market and the demand in real estate market has fallen significantly. Measuring the demand for housing precisely is crucial for overcoming economic difficulties as well as understanding the profitability, liquidity and the future of construction sector in Turkey. In this study, significant factors that have impact on the demand for real estate market are assumed to be dynamic. Different regimes are formed based on interest rates and factors like housing prices, location, mortgage rates, bond rates, foreign currency returns, gold returns and iron prices are used to test the changes in the demand for real estate.

scholarly journals Changes in Housing Availability Indicator in Selected Polish Cities in the Years 2006 to 2018

2019 ◽  
Vol 16 (1) ◽  
pp. 91-97
Author(s):  
Marta Martyniak
Keyword(s):  
Real Estate ◽  
Housing Market ◽  
Housing Prices ◽  
Real Estate Market ◽  
Secondary Market ◽  
Individual Investors ◽  
Residential Real Estate ◽  
Asymmetry Of Information ◽  
Transaction Prices ◽  
Central Statistical

Abstract Research purpose. Housing availability indicator shows the area of residential real estate possible to purchase for the average monthly wage in the enterprise sector. The research carried out in this paper is aimed at determining the current level of housing availability indicator and its detailed analysis, taking into account the dynamics of changes in 2006 to 2018. This analysis will be carried out for primary and secondary market for selected Polish cities. Design/Methodology/Approach. Calculations were based on the average transaction prices obtained from the transactional database of residential real estate of the National Bank of Poland and the value of the average monthly remuneration in the enterprise sector obtained partly from statistical data and official journals of the Central Statistical Office. Findings. The analysis shows that the indicator of housing availability in Poland, despite the visible upward trend, is at a very low level, placing Warsaw at the first place. In addition, the extension of the analysis to the division of the housing market into the primary and secondary market provided more information about shaping the housing availability indicator. Whereas in the primary market in individual cities its value was at a similar level, the secondary market was subject to greater fluctuations. Originality/Value/Practical implications. This paper is of practical nature. Due to the asymmetry of information on the Polish real estate market, especially regarding housing prices, knowledge about the value of the housing availability indicator in Poland may be exceptionally valuable, especially for people interested in the housing market, including individual investors and market practitioners, as an auxiliary source of information in purchasing decisions of households.

scholarly journals Real estate boom in Chile and fundamentals on house prices

2020 ◽  
Vol 6 (1) ◽  
pp. 1-26
Author(s):  
C. Aguilera Alvial
Keyword(s):  
Real Estate ◽  
Interest Rates ◽  
Structural Breaks ◽  
House Prices ◽  
Housing Prices ◽  
Real Estate Market ◽  
The Real ◽  
The Real Estate ◽  
Integration Test ◽  
The Real Estate Market

This article studies the fundamentals of housing prices based on the Real Index of Housing Prices (IRPV), given that in recent times in Chile there has been a sustained increase in price levels and seeks to find evidence on the existence of a possible speculative bubble in the real estate market. Following the methodology of various Chilean and international authors, the Engle & Granger Co-integration methodology was applied. Furthermore, the results of the previous methodology were compared using the Johansen Co-integration test. Then a method to find structural breaks is applied. As a result, evidence is found to not reject the existence of a bubble in the real estate market. It is found that only interest rates co-integrate in the long term with the evolution of house prices, while the other fundamentals present a spurious relationship.

scholarly journals Housing Prices at the Time of QEs in California: Effect of Mortgage Rates

2017 ◽  
Vol 8 (2) ◽  
pp. 1
Author(s):  
Yalan Feng ◽  
Donald C. Keenan ◽  
Taewon Kim ◽  
Daniel C. Lee
Keyword(s):  
Interest Rates ◽  
Housing Market ◽  
Great Recession ◽  
Housing Prices ◽  
Quantitative Easing ◽  
The Great Recession ◽  
Mortgage Rates ◽  
Run Up ◽  
The Impact ◽  
The Relationship

In this paper we look at the impact of mortgage rates on California’s housing prices during the Great Recession when the quantitative easing (QE) programs were implemented. We find that the relationship between mortgage rates and housing prices is not strong and it becomes weaker, the closer the period gets to the Great Recession. Our analysis confirms some of the existing literature on the relationship between interest rates and housing prices; that in the boom-bust housing market cycles, interest rates do not play a major role one would expect in determining the demand for housing. Our analysis shows that, even as interest rates were high in the run up to the housing market peak in 2007, housing prices kept going up; and that after the bubble burst, even as rates were kept low, housing prices did not start recovering until 2011.

What drives housing prices, rent and new construction in China

2017 ◽  
Vol 10 (5) ◽  
pp. 662-686
Author(s):  
Dimitrios Staikos ◽  
Wenjun Xue
Keyword(s):  
Real Estate ◽  
Empirical Test ◽  
Housing Prices ◽  
Panel Cointegration ◽  
Real Estate Market ◽  
Estimation Methods ◽  
Content Type ◽  
New Construction ◽  
Using Data ◽  
First Time

Purpose With this paper, the authors aim to investigate the drivers behind three of the most important aspects of the Chinese real estate market, housing prices, housing rent and new construction. At the same time, the authors perform a comprehensive empirical test of the popular 4-quadrant model by Wheaton and DiPasquale. Design/methodology/approach In this paper, the authors utilize panel cointegration estimation methods and data from 35 Chinese metropolitan areas. Findings The results indicate that the 4-quadrant model is well suited to explain the determinants of housing prices. However, the same is not true regarding housing rent and new construction suggesting a more complex theoretical framework may be required for a well-rounded explanation of real estate markets. Originality/value It is the first time that panel data are used to estimate rent and new construction for China. Also, it is the first time a comprehensive test of the Wheaton and DiPasquale 4-quadrant model is performed using data from China.

scholarly journals Teoretyczne i metodyczne aspekty wyznaczania indeksów cen na rynku mieszkaniowym

2018 ◽  
Author(s):  
Radosław Trojanek
Keyword(s):  
Real Estate ◽  
Housing Prices ◽  
Real Estate Market ◽  
Secondary Market ◽  
Property Right ◽  
Sources Of Information ◽  
Single Family ◽  
Starting Point ◽  
Price Indexes

In the book, an attempt was made to catalogue knowledge concerning the importance of research into the dynamics of housing prices for social and economic development. The analysis of the experience of countries with well-developed real estate markets in the aspect of building price indexes was carried out. Based on original databases of asking and transaction prices, price indexes were built, which were then subjected to numerous resistance tests. The aims of these research tasks were as follows: 1) to examine the quality of offers for sale as a source of information about changes in the real estate market, 2) to find out whether the repeat sales method can be used for building price indexes and to critically assess this method in terms of the stability of the obtained results, 3) to analyze hedonic methods and indicate the preferred one in terms of the ratio of the quality of results to how time-consuming and cost-intensive it is to build such indexes, 4) to establish the importance of methods and sources of information for building price indexes in different time horizons, 5) to identify how important it is for the fluctuation of price indexes if the cooperative property right to a flat is not taken into account. In order to perform the research tasks and accomplish the goals scopes of the work were defined. The subject followed the aim of the study and refers to prices in the secondary housing market, encompassing both the property right and cooperative property right to a flat or house. The broad scope concerns the discussion in the general part, being narrowed down to the secondary market of flats located in multi-family and single-family buildings. The time scope covers the years 2000-2015, which is connected to the range of empirical studies carried out. They focused both on actual transactions and on offers of flats for sale. On this basis, we built databases which served as the starting point for further analyses. The study involved transactions and offers in the area of Poznan.

scholarly journals Assessment of Average Market Investment Returns in Development of the Residential Real Estate in the Moscow Region

2019 ◽  
Vol 12 (3) ◽  
pp. 140-152
Author(s):  
S. G. Sternik ◽  
Ya. S. Mironchuk ◽  
E. M. Filatova
Keyword(s):  
Real Estate ◽  
Initial Data ◽  
Housing Market ◽  
Return On Investment ◽  
High Reliability ◽  
Real Estate Market ◽  
Moscow Region ◽  
Residential Real Estate ◽  
Market Return ◽  
Total Investment

In the previous work, G.M. Sternik and S.G. Sternik justified the options for the method of assessing the average current annual return on investment in residential real estate development, depending on the nature and content of the initial data on the costs contained in the sources of information (construction costs or total investment costs). Based on the analysis of the composition of the elements of development costs used in various data sources, we corrected the coefficients that allowed us to move from the assessment of the current annual return on investment in development in relation to the cost (full estimated cost) of construction to the assessment of the current annual return on investment in relation to the total investment costs. This calculation method was tested on the example of the housing market inMoscow. As a result, we concluded it is possible its use for investment management in the housing market. In this article, based on G.M. Sternik and S.G. Sternik’s methodology for assessing the return on investment into the development, and taking also into account the increase of information openness of the real estate market, we improved the calculation formulas, using new sources of the initial data, and recalculated the average market return on investment into the development of residential real estate in the Moscow region according to the data available for 2014–2017. We concluded that, since 2015, the average market return on investment takes negative values, i.e. the volume of investment in construction exceeds the revenue from sales in the primary market. However, in the second half of 2017, the indicator has increased to positive values, which was due to a greater extent of the decrease in the volume of residential construction in the region. The data obtained by us, together with the improved method of calculations, allow predicting with high reliability the potential of the development of the regional markets of primary housing for the purpose of investment and state planning of housing construction programs.

scholarly journals Did the COVID-19 Pandemic Crisis Affect Housing Prices Evenly in the U.S.?

2021 ◽  
Vol 13 (21) ◽  
pp. 12277
Author(s):  
Xinba Li ◽  
Chuanrong Zhang
Keyword(s):  
Real Estate ◽  
Spatial Patterns ◽  
Price Change ◽  
Housing Prices ◽  
Housing Price ◽  
Real Estate Market ◽  
Moran’S I ◽  
Moran's I ◽  
Price Changes ◽  
The U.S

While it is well-known that housing prices generally increased in the United States (U.S.) during the COVID-19 pandemic crisis, to the best of our knowledge, there has been no research conducted to understand the spatial patterns and heterogeneity of housing price changes in the U.S. real estate market during the crisis. There has been less attention on the consequences of this pandemic, in terms of the spatial distribution of housing price changes in the U.S. The objective of this study was to explore the spatial patterns and heterogeneous distribution of housing price change rates across different areas of the U.S. real estate market during the COVID-19 pandemic. We calculated the global Moran’s I, Anselin’s local Moran’s I, and Getis-Ord’s statistics of the housing price change rates in 2856 U.S. counties. The following two major findings were obtained: (1) The influence of the COVID-19 pandemic crisis on housing price change varied across space in the U.S. The patterns not only differed from metropolitan areas to rural areas, but also varied from one metropolitan area to another. (2) It seems that COVID-19 made Americans more cautious about buying property in densely populated urban downtowns that had higher levels of virus infection; therefore, it was found that during the COVID-19 pandemic year of 2020–2021, the housing price hot spots were typically located in more affordable suburbs, smaller cities, and areas away from high-cost, high-density urban downtowns. This study may be helpful for understanding the relationship between the COVID-19 pandemic and the real estate market, as well as human behaviors in response to the pandemic.

scholarly journals Affordable housing for internally displaced persons: The priorities for investment and development in Ukraine

2021 ◽  
Vol 18 (1) ◽  
pp. 101-113
Author(s):  
Lyudmyla Alekseyenko ◽  
Oksana Tulai ◽  
Yuriy Petrushenko ◽  
Andriy Kuznietsov ◽  
Julia Derkash
Keyword(s):  
Housing Market ◽  
Affordable Housing ◽  
Social Protection ◽  
Housing Prices ◽  
Real Estate Market ◽  
Learning System ◽  
Housing Construction ◽  
Internally Displaced Persons ◽  
Displaced Persons ◽  
Internally Displaced

The institution of home ownership provides for the functioning of affordable housing for low-income people and new groups in need of social protection, including the reintegration of migrants to new places of residence. The aim of the study is to substantiate the priorities of investments into affordable housing for internally displaced persons promoting their adaptation and social reintegration in the context of administrative-territorial decentralization.The study is based on use of empirical, economic and statistical methods, which in the process of correlation, regression and canonical analysis showed that many indicators that characterize the housing market are closely correlated with the scale and development level of administrative units in Ukraine. To characterize the state and investment attractiveness of the residential real estate market, a set of indicators was used in the modeling: population, the number of employed, household income, regional domestic product, volume of commissioned housing, construction investments, regional human development index, total housing stock, housing prices in the regions of Ukraine and Kyiv. The most significant parameter that affects the volume of housing construction is the amount of investments into per capita housing construction. The article also discusses the housing market situation, which differs in regions or some cities due to the significant differentiation of their development, which affects the ability to obtain affordable housing. The implementation of regional development programs should determine investment priorities of social protection, particularly the possibility of buy-out schemes through the mechanism of leasing of social housing by internally displaced persons. Acknowledgment This research was funded by a grant from the Ministry of Education and Science of Ukraine “Reforming the lifelong learning system in Ukraine for the prevention of the labor emigration: a coopetition model of institutional partnership” (No. 0120U102001).

scholarly journals Revisiting currency swaps: hedging real estate investments in global city markets

2018 ◽  
Vol 36 (2) ◽  
pp. 191-209
Author(s):  
Philipp Bejol ◽  
Nicola Livingstone
Keyword(s):  
Real Estate ◽  
Foreign Currency ◽  
Risk Mitigation ◽  
Sampling Technique ◽  
Real Estate Market ◽  
Small Scale ◽  
Negative Consequences ◽  
Content Type ◽  
Net Worth ◽  
Individual Asset

Purpose The purpose of this paper is to re-examine currency swaps as an effective hedging technique for individual asset performance in today’s global real estate market, by considering hypothetical prime office investments across six different cities and five currency pairs. The perspective of a risk-averse, high net worth, non-institutional, smaller-scale Swiss investor is paired with investors from five additional national markets. Design/methodology/approach The study examines currency swaps in key office markets across three continents (Frankfurt, London, New York, Sydney, Warsaw and Zurich) and extends previous work on the topic by adopting both Monte Carlo (MC) and Latin Hypercube (LH) techniques to create stochastic samples for individual asset performance analyses. This is the first paper to apply LH sampling to currency swaps with underlying real estate assets, and the validity of this method is compared with that of MC. Four models are presented: the experience of the domestic investor (no exchange rate (ER) fluctuations); an unhedged direct foreign investment; hedging rental income and initial purchase price via a currency swap; and hedging rental income and anticipated terminal value. Findings The efficacy of a swap depends on the historical framework of the ERs. If the foreign currency depreciates against the domestic one, hedging the repatriated cash flow of a property investment proved superior to the unhedged strategy (EUR, GBP, PLN and USD to the CHF). An investor would benefit from exposure to an appreciating foreign currency (CHF to the EUR, GBP, PLN and USD), with an unhedged strategy clearly outperforming the currency swap as well as the domestic investor’s performance, while a historically sideways fluctuating ER (AUD to the CHF) also favours an unhedged approach. In all scenarios, unexpected economic or market shocks could cause negative consequences on the repatriated proceeds. Practical implications This research is of interest to small-scale, non-institutional investors aiming to develop strategies for currency risk mitigation in international investments for individual assets; however, tax-optimising strategies and the implications on a larger portfolio have not been taken into account. Originality/value There is no recent academic work on the efficacy of currency swaps in today’s global office market, nor has the position of smaller-scale high net worth investors received much academic attention. This research revisits the discussion on their validity, providing contemporary insight into the performance of six markets using LH as an alternative and original sampling technique.

Property investor decisions using income and rental ratio signals

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Billie Ann Brotman
Keyword(s):  
Real Estate ◽  
Housing Market ◽  
Discount Rate ◽  
Price Index ◽  
Housing Prices ◽  
Housing Price ◽  
Consumer Sentiment ◽  
Content Type ◽  
Income Ratio ◽  
Real Estate Prices

PurposeThis paper, a case study, aims to consider whether the income ratio and rental ratio tracks the formation of residential housing price spikes and their collapse. The ratios are measuring the risk associated with house price stability. They may signal whether a real estate investor should consider purchasing real property, continue holding it or consider selling it. The Federal Reserve Bank of Dallas (Dallas Fed) calculates and publishes income ratios for Organization for Economic Cooperation and Development countries to measure “irrational exuberance,” which is a measure of housing price risk for a given country's housing market. The USA is a member of the organization. The income ratio idea is being repurposed to act as a buy/sell signal for real estate investors.Design/methodology/approachThe income ratio calculated by the Dallas Fed and this case study's ratio were date-stamped and graphed to determine whether the 2006–2008 housing “bubble and burst” could be visually detected. An ordinary least squares regression with the data transformed into logs and a regression with structural data breaks for the years 1990 through 2019 were modeled using the independent variables income ratio, rent ratio and the University of Michigan Consumer Sentiment Index. The descriptive statistics show a gradual increase in the ratios prior to exposure to an unexpected, exogenous financial shock, which took several months to grow and collapse. The regression analysis with breaks indicates that the income ratio can predict changes in housing prices using a lead of 2 months.FindingsThe gradual increases in the ratios with predetermine limits set by the real estate investor may trigger a sell decision when a specified rate is reached for the ratios even when housing prices are still rising. The independent variables were significant, but the rent ratio had the correct sign only with the regression with time breaks model was used. The housing spike using the Dallas Fed's income ratio and this study's income ratio indicated that the housing boom and collapse occurred rapidly. The boom does not appear to be a continuous housing price increase followed by a sudden price drop when ratio analysis is used. The income ratio is significant through time, but the rental ratio and Consumer Sentiment Index are insignificant for multiple-time breaks.Research limitations/implicationsInvestors should consider the relative prices of residential housing in a neighborhood when purchasing a property coupled with income and rental ratio trends that are taking place in the local market. High relative income ratios may signal that when an unexpected adverse event occurs the housing market may enter a state of crisis. The relative housing prices to income ratio indicates there is rising housing price stability risk. Aggregate data for the country are used, whereas real estate prices are also significantly impacted by local conditions.Practical implicationsRatio trends might enable real estate investors and homeowners to determine when to sell real estate investments prior to a price collapse and preserve wealth, which would otherwise result in the loss of equity. Higher exuberance ratios should result in an increase in the discount rate, which results in lower valuations as measured by the formula net operating income dividend by the discount rate. It can also signal when to start reinvesting in real estate, because real estate prices are rising, and the ratios are relative low compared to income.Social implicationsThe graphical descriptive depictions seem to suggest that government intervention into the housing market while a spike is forming may not be possible due to the speed with which a spike forms and collapses. Expected income declines would cause the income ratios to change and signal that housing prices will start declining. Both the income and rental ratios in the US housing market have continued to increase since 2008.Originality/valueA consumer sentiment variable was added to the analysis. Prior researchers have suggested adding a consumer sentiment explanatory variable to the model. The results generated for this variable were counterintuitive. The Federal Housing Finance Agency (FHFA) price index results signaled a change during a different year than when the S&P/Case–Shiller Home Price Index is used. Many prior studies used the FHFA price index. They emphasized regulatory issues associated with changing exuberance ratio levels. This case study applies these ideas to measure relative increases in risk, which should impact the discount rate used to estimate the intrinsic value of a residential property.

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